WIND FARM VIRTUAL INERTIA COORDINATED CONTROL TECHNOLOGY BASED ON WIND SPEED PREDICTION

Wang Zhengjun; Gao Jingfang; Zhao Bing; Ding Liang; Cao Yang

doi:10.19912/j.0254-0096.tynxb.2022-0298

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 138-143. DOI: 10.19912/j.0254-0096.tynxb.2022-0298

WIND FARM VIRTUAL INERTIA COORDINATED CONTROL TECHNOLOGY BASED ON WIND SPEED PREDICTION

Wang Zhengjun, Gao Jingfang, Zhao Bing, Ding Liang, Cao Yang

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Abstract

According to the current research of wind farm virtual inertia coordinated control for wind turbine power distribution of frequency regulation, this paper proposed a virtual inertial coordinated-control power distribution strategy based on wind speed prediction. Specifically, a time-series wind speed model resulting through BP neural network training with time-series wind speed and empirical mode decomposition （EMD） , thereby the short period wind speed can be predicted. The calculation of inertia distribution weighting factor is based on both real-time rotor speed and predicted wind speed, meanwhile,the whole field inertia response value is calculated by frequency variation.The inertia response value of each wind turbine is allocated through the inertia distribution weighting factor and the capacity of each converter. The control strategy in this paper has been successfully applied on a 148.5 MW wind farm in Yunnan. On the basis of frequency modulation test results, the effectiveness of the algorithm has been verified.

Key words

wind farm / virtual inertia control / frequency response / coordination control / wind speed prediction

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Wang Zhengjun, Gao Jingfang, Zhao Bing, Ding Liang, Cao Yang. WIND FARM VIRTUAL INERTIA COORDINATED CONTROL TECHNOLOGY BASED ON WIND SPEED PREDICTION[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 138-143 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0298

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